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README.md

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+---
+license: apache-2.0
+datasets:
+- allenai/MolmoWeb-SyntheticTraj
+- allenai/MolmoWeb-HumanTrajs
+- allenai/MolmoWeb-HumanSkills
+- allenai/MolmoWeb-SyntheticSkills
+- allenai/MolmoWeb-SyntheticQA
+- allenai/MolmoWeb-SyntheticGround
+language:
+- en
+base_model:
+- Qwen/Qwen3-8B
+- google/siglip-so400m-patch14-384
+pipeline_tag: image-text-to-text
+library_name: transformers
+tags:
+- multimodal
+- olmo
+- molmo
+- molmo2
+---
+
+<img src="molmoweb_logo.png" alt="Logo for the MolmoWeb Project" style="width: auto; height: 50px;">
+
+# MolmoWeb-8B-Native 
+
+**Note** that this is the molmo-native checkpoint, and it's NOT Huggingface/transformers-compatible. Check out [allenai/MolmoWeb-8B](https://huggingface.co/allenai/MolmoWeb-8B) for HF-compatible checkpoint.
+
+MolmoWeb is a family of fully open multimodal web agents. MolmoWeb agents achieve state-of-the-art results outperforming similar scale open-weight-only
+models such as Fara-7B, UI-Tars-1.5-7B, and Holo1-7B. MolmoWeb-8B also surpasses set-of-marks
+(SoM) agents built on much larger closed frontier models like GPT-4o. We further demonstrate
+consistent gains through test-time scaling via parallel rollouts with best-of-N selection, achieving 94.7%
+and 60.5% pass@4 (compared to 78.2% and 35.3% pass@1)on WebVoyager and Online-Mind2Web
+respectively. 
+
+**Learn more** about the MolmoWeb family in our announcement [blog post](https://allenai.org/blog/molmoweb) and [tech report](https://allenai.org/papers/molmoweb).
+
+MolmoWeb-8B-Native is based on [Molmo2](https://arxiv.org/abs/2601.10611) architecture, which uses [Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) and [SigLIP 2](https://huggingface.co/google/siglip-so400m-patch14-384) as vision backbone. 
+
+Ai2 is committed to open science. The MolmoWeb datasets are available [here](https://huggingface.co/collections/allenai/molmoweb-data). 
+All other artifacts used in creating MolmoWeb (training code, [evaluations](https://github.com/allenai/molmoweb), intermediate checkpoints) will be made available, furthering our commitment to open-source AI development and reproducibility.
+
+Quick links:
+- 💬 [Demo](https://molmoweb.allen.ai/)
+- 📂 [All Models](https://huggingface.co/collections/allenai/molmoweb)
+- 📚 [All Data](https://huggingface.co/collections/allenai/molmoweb-data)
+- 📃 [Paper](https://allenai.org/papers/molmoweb)
+- 🎥 [Blog with Videos](https://allenai.org/blog/molmoweb)
+
+## Usage
+Please refer to our [Github repo](https://github.com/allenai/molmoweb/) for inference code.
+
+## License and Use
+
+This model is licensed under Apache 2.0. It is intended for research and educational use in accordance with Ai2’s [Responsible Use Guidelines](https://allenai.org/responsible-use).